基于贝叶斯压缩感知的均匀/非均匀线性和均匀圆形天线阵列的DOA

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI:10.1109/UEMCON.2017.8249017

I. Jouny

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引用次数: 0

摘要

本文研究了均匀或非均匀间隔线性或均匀间隔圆形天线阵列上相干或非相干信号的到达方向估计。采用贝叶斯压缩感知重构方法实现方位定位。这种方法消除了在处理相关到达和使用非均匀间隔天线阵列或圆形阵列时经常使用的空间平滑和/或阵列插值的需要。仿真表明，在信噪比大于5db的情况下，可以获得可靠的DOA估计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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DOA using uniform/nonuniform linear and uniform circular antenna arrays with Bayesian compressive sensing

Directions of Arrival (DOA) estimation of coherent or incoherent signals impinging on uniformly or non-uniformly spaced linear or uniformly spaced circular antenna arrays are investigated in this paper. DOA is accomplished by using Bayesian compressive sensing reconstruction method. This approach eliminates the need for spatial smoothing and/or array interpolation that are often used when dealing with correlated arrivals and when using non-uniformly spaced antenna arrays or circular arrays. Simulations show that reliable DOA estimates are attainable at signal-to-noise ratios above 5 dB.

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2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)

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